BBSome-dependent ciliary Hedgehog signaling governs cell fate in the white adipose tissue (scRNA-Seq)
Single-cell RNA-seq · mouse · 10 samples
- What it is
- Single-cell RNA-seqGene activity measured in thousands of individual cells, so cell types can be told apart.
- Organism
- Mus musculus (mouse)
- Samples
- 10 samples: 3 × Bbs8 KO iWAT SVF, p2, vs 3 × Bbs8 WT iWAT SVF, p1, vs 2 × Bbs8 KO iWAT SVF, p1, vs 2 × Bbs8 WT iWAT SVF, p2,Groups are read from the sample names, not from the paper. Check the list below.
- Data you can get
- A processed table (series matrix) and supplementary files from NCBI; the raw sequencing reads from ENA. Which of these hold counts depends on the study, so check the file list.
- Paper
- BBS8-dependent ciliary Hedgehog signaling governs cell fate in the white adipose tissueThe EMBO journal · 2025
Read the full summary ↓
Direct links to NCBI and ENA, no account and no request form. Pick by what you want to do: take the small processed table to look, the supplementary files to re-analyse, or the original raw data to start over.
Processed table
The series matrix: one table of values per sample as the submitters processed it. The smallest download, and it opens in Excel or R. Start here to see what the data look like.
Supplementary files
The count tables and other files the authors uploaded. Take only the samples you need, or the whole study as GSE254258_RAW.tar (it can run to tens of gigabytes).
Raw sequencing reads
The original FASTQ files, straight from the sequencer, held at ENA. Large, and you align them yourself, so only choose this if you need to re-process the study from scratch.
What the files usually look like: Single-cell studies usually ship their counts as 10x files (matrix.mtx, barcodes.tsv, features.tsv), an .h5 file, or an .rds / .h5ad object that Seurat or Scanpy can open. Look for those among the supplementary files.
Also filed as BioProject PRJNA1069093 and SRA study SRP485982. Searching any of these in the dataset finder brings you back here.
Supports a between-group comparison across 10 samples.
How we read this: 4 replicated groups read from 10 sample titles; they account for 10 of them. These groups are guessed from the sample names, not taken from the paper, so check them against the sample list below before relying on them.
- GSM8036874 Bbs8 KO iWAT SVF, p1, rep1 Bbs8 KO iWAT SVF, p1,
- GSM8036875 Bbs8 KO iWAT SVF, p1, rep2 Bbs8 KO iWAT SVF, p1,
- GSM8036876 Bbs8 KO iWAT SVF, p2, rep 1 Bbs8 KO iWAT SVF, p2,
- GSM8036877 Bbs8 KO iWAT SVF, p2, rep 2 Bbs8 KO iWAT SVF, p2,
- GSM8036878 Bbs8 KO iWAT SVF, p2, rep 3 Bbs8 KO iWAT SVF, p2,
- GSM8036879 Bbs8 WT iWAT SVF, p1, rep1 Bbs8 WT iWAT SVF, p1,
- GSM8036880 Bbs8 WT iWAT SVF, p1, rep2 Bbs8 WT iWAT SVF, p1,
- GSM8036881 Bbs8 WT iWAT SVF, p1, rep3 Bbs8 WT iWAT SVF, p1,
- GSM8036882 Bbs8 WT iWAT SVF, p2, rep1 Bbs8 WT iWAT SVF, p2,
- GSM8036883 Bbs8 WT iWAT SVF, p2, rep2 Bbs8 WT iWAT SVF, p2,
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Metadata from NCBI GEO, cached and refreshed periodically — the NCBI page above is authoritative. Downloads link straight to NCBI/ENA; nothing is proxied through BioTransfer.